Decoupling control based on PID neural network for deaerator and condenser water level control system

2015 ◽  
Author(s):  
Wang Peng ◽  
Meng Hao ◽  
Dong Peng ◽  
Dai Ri-hui
Keyword(s):  
Neural Network ◽  
Control System ◽  
Water Level ◽  
Decoupling Control ◽  
Level Control ◽  
Level Control System ◽  
Pid Neural Network

The Research and Design of Liquid Level Control System Based on Computer Nerve Network

2012 ◽  
Vol 591-593 ◽  
pp. 1629-1632
Author(s):  
Li Zhang ◽  
Jian Hui Wang ◽  
Hou Yao Zhu
Keyword(s):  
Neural Network ◽  
Control System ◽  
Pid Control ◽  
Liquid Level ◽  
Level Control ◽  
Control Effect ◽  
Nerve Network ◽  
Level Control System ◽  
Pid Neural Network ◽  
Liquid Level Control

This thesis mainly elaborated the PID neural network feed-forward algo-rithm and back propagation algorithm and the structure form of its controller, then make use of MATLAB to simulate the liquid level adjusting system, analysis its control perform-ance and choose appropriate neural network parameters, and compared with the traditional PID control effect, analyzes the advantages of PID neural network. Through the comparison with the conventional PID control, PID neural network is superior to the traditional PID. The traditional PID control tuning parameters has a large number of thumb rules for reference, but the setting out of the parameters is not necessarily good. And sometimes we have to modify the parameters if we wound the better control effect. PID neural network is set up as long as the learning step in accordance with the PID rule set. this paper has show that Liquid Level Control System based on Computer Nerve Network has good control effect of rapid and effective.

Biomass Boiler Drum Water Level Control System Using Neural Networks

2014 ◽  
Vol 541-542 ◽  
pp. 1260-1265
Author(s):  
V. Kalaichelvi ◽  
R.K. Ganesh Ram ◽  
R. Karthikeyan
Keyword(s):  
Neural Network ◽  
Control System ◽  
Water Level ◽  
Water System ◽  
Biomass Energy ◽  
Level Control ◽  
Biomass Boiler ◽  
Level Control System ◽  
Neural Network Controller ◽  
Boiler Drum

.Biomass energy transforms solar energy into chemical energy and the energy is stored in the organisms internally with the help of the photosynthesis. In the biomass boiler combustion system, the boiler drum water level is an important parameter and it is a sign to measure regardless of whether boiler steaming water system is in balance. For a nonlinear process as water level control in boilers, conventional control theory is not an appropriate choice. In this study, a neural network based predictive controller is designed and implemented through simulation in MATLAB software for biomass boilers drum water level control. Performance of neural network controller is compared with conventional PID (Proportional + Integral + Derivative) controller for boiler drum water level control system and it is observed that the neural network based approach is more efficient than conventional PID controller.

Sign in / Sign up

Export Citation Format

Share Document